The superscripts of all items in the Eq. REF  specify time-series \(K\)  among those located at time \(T+1\) .
Eq. REF  provides the process of summing the feature values extracted by the feature net and weighting them according to their location information. The scalar extracted by the feature-net, \(f_{t,k}(\cdot )\) , is influenced only by the input value, \(x_{t,k}\) .
As the extracted scalar does not combine with other time-series points during training, \(f(x)\)  is used as the specific input value. Especially, the NAM utilizes the Exp-centered Unit (ExU) as its feature net \(f\) , which is designed to be sensitive to the contribution of the input [1]}.
Therefore, NAM-NC can ignore unrelated time-series points.
However, these important points can greatly affect prediction outcomes.
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